Dislocation‐Driven Formation of Oriented Macroperiodic Metastructures of Curved Single Crystal Lattices in Glass by Evan J. Musterman, Volkmar Dierolf, Himanshu Jain

“…The development of lattice curvature appears to be intrinsic to the crystal growth process in some systems, while the result of the locally changing crystallography in others. …”
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Lattice-Based Generation of Euclidean Geometry Figures by Jonathan Henning, Hanna King, Sophie Ngo, Jake Shore, Alex Gardner, Chris Alvin, Grace Stadnyk

“…As input, we take a user-defined vector of primitive geometry shapes and convert each into a GFL. …”
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Lightweight opportunistic routing forwarding strategy based on Markov chain by Feng LI, Ya-li SI, Zhen CHEN, Li-min SHEN

“…A lightweight opportunistic routing forwarding strategy (MOR) was proposed based on Markov chain.In the scheme,the execute process of network was divided into a plurality of equal time period,and the random encounter state of node in each time period was represented by activity degree.The state sequence of a plurality of continuous time period constitutes a discrete Markov chain.The activity degree of encounter node was estimated by Markov model to predict its state of future time period,which can enhance the accuracy of activity degree estimation.Then,the method of comprehensive evaluating forwarding utility was designed based on the activity degree of node and the average encounter interval.MOR used the utility of node for making a routing forwarding decision.Each node only maintained a state of last time period and a state transition probability matrix,and a vector recording the average encounter interval of nodes.So,the routing forwarding decision algorithm was simple and efficient,low time and space complexity.Furthermore,the method was proposed to set optimal number of the message copy based on multiple factors,which can effectively balance the utilization of network resources.Results show that compared with existing algorithms,MOR algorithm can effectively increase the delivery ratio and reduce the delivery delay,and lower routing overhead ratio.…”
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Music Therapy Methods Based on SVM and MLP by Hongmin Zou

“…These features are regarded as input of support vector machine (SVM) and multilayer perceptron (MLP) for classification. …”
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Evaluation of the Changes in the Strength of Clay Reinforced with Basalt Fiber Using Artificial Neural Network Model by Yasemin Aslan Topçuoğlu, Zeynep Bala Duranay, Zülfü Gürocak

“…To validate the prediction capabilities of the ANN, a comparative analysis was performed using linear regression, support vector machines, and Gaussian process regression models. …”
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Implementing Consolidation Strategies in Institutional Discourse: Modeling Concept of COOPERATION by E. V. Dziuba, A. G. Kuzyakin

“…Various models of consolidation are identified (multilevel and scalable, vector-based regionally-oriented, alternative globally-oriented), as reflected in different documents.…”
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Structure Design and Optimization of Self-locking Under-actuated Gripper by Shuting He, Yi Shen, Xianling Dai, Beibei Qiu, Xianfeng Pan, Mingxin Yuan

“…The structure design of the gripper is completed based on the under-actuated principle， and the feasibility of structural self-locking and enveloping clamping is ensured through the analysis of the clamping configuration and clamping process. According to the principle of virtual work and the vector closed equation of the linkage mechanism， a static modeling under the adaptive gripping state of the gripper is constructed. …”
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Sentiment Analysis of Indonesian Responses to the Conflict in Palestine Using KNN and SVM Methods by Rizky Fauzi, Erik Iman Heri Ujianto

“…This study aims to analyze the sentiment of Indonesian people towards the Palestinian-Israeli conflict using the K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) methods. The subject of this research is user data X (Twitter) which contains opinions about the conflict. …”
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Efficient Context-Preserving Encoding and Decoding of Compositional Structures Using Sparse Binary Representations by Roman Malits, Avi Mendelson

“…A distinguishing feature of CDT relative to other methods is that the CDT-encoded vector remains similar to each component input and combinations of similar inputs. …”
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A Novel Feature Selection Method for Classification of Medical Data Using Filters, Wrappers, and Embedded Approaches by Saba Bashir, Irfan Ullah Khattak, Aihab Khan, Farhan Hassan Khan, Abdullah Gani, Muhammad Shiraz

“…Feature selection is the process of identifying the most relevant features from the given data having a large feature space. …”
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Construction of Generating Grinding Model and Analysis of Influencing Factor for Cycloidal Gear Tooth Surface of RV Reducer by Li Tianxing, Xing Chunrong, Wang Guofeng, Su Jianxin, Wang Huiliang, An Xiaotao, Li Jubo

“…The machining accuracy of cycloidal tooth surface is the key factor affecting the motion performance of RV reducer,and the reverse correction of grinding parameters according to the data of tooth surface error detection is an important link in the manufacturing process of the cycloidal gear. Through the analysis of the cycloidal gear generating grinding principle,the complex motion relationship between the grinding wheel and the cycloidal gear is clarified and the model of the movement relation of the cycloidal tooth surface is established.Besides,based on the gear meshing theory and the principle of space coordinate conversion,the mathematical expression of the cycloidal gear theoretical tooth surface and the normal vector with the parameters of the grinding adjustment are deduced,which provides a theoretical basis for correcting the tooth profile error after testing.Then according to the cycloidal generating grinding model,the influence of main grinding parameters on the tooth surface error is discussed. …”
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Detecting the Presence of Named Entities in Bengali: Corpus and Experiments by Farzana Rashid, Fahmida Hamid

“…Named Entity Recognition (NER) belongs to the field of Information Extraction (IE) and Natural Language Processing (NLP). NER aims to find and categorize named entities present in the textual data into recognizable classes. …”
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Tensor-powered insights into neural dynamics by Boyang Zang, Tao Sun, Yang Lu, Yuhang Zhang, Guihuai Wang, Sen Wan

“…Nevertheless, such methodologies require the vectorization of data, a process that disrupts the intrinsic relationships inherent in high-dimensional spaces, consequently impeding their capability to effectively process information in high-order tensor domains. …”
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Sentiment Analysis and Classification of User Reviews of the 'Access by KAI' Application Using Machine Learning Methods to Improve Service Quality by Hildegardis Kristina saka, Putri Taqwa Prasetyaningrum

“…This research applies sentiment analysis to understand user perceptions of the Access by KAI application, especially specific aspects such as speed, payment process, and user interface (UI/UX). User reviews are collected and processed through preprocessing stages, balancing using the SMOTE method, and classified using three machine learning algorithms, namely Support Vector Machine (SVM), Decision Tree, and Logistic Regression. …”
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Automated detection of epicardial adipose tissue in cardiac CT using ensemble machine learning for improved diagnosis by Jasmine S, Marichamy P

“…An ensemble machine learning model combining Support Vector Machine (SVM) and Artificial Neural Network (ANN) is developed for segmentation. …”
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Application of Neuro-Wavelet Algorithm in Ultrasonic-Phased Array Nondestructive Testing of Polyethylene Pipelines by Reza Bohlouli, Babak Rostami, Jafar Keighobadi

“…In the final step, all the feature vectors are classified through a backpropagation-based ANN algorithm. …”
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LncRNA CA13/EFTUD2/CA13 caused crossed beak by regulating the mandibular calcification in chicken by Min Wu, Dan Su, Xinxin Li, Junjie Xu, Yihao Fan, Xinglin Wu, Xuelu Liu, Bofei Su, Dehe Wang, Yifan Chen, Erying Hao, Hao Bai, Hui Chen, Jilan Chen, Lei Shi

“…Integrated RNA affinity pull-down assay (RNA pull-down) combined with multiple bioinformatic analysis methods, as well as RNA binding protein immunoprecipitation assay (RIP), identified EFTUD2 as a transcription factor involved in the cellular mineralization process. The oe-lncRNA CA13 vector was constructed with an overexpression efficiency of 95.85 %, and the sh-lncRNA CA13 vector had an interference efficiency of 54.58 %. …”
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Penerapan Metode Weighted Product (WP) Dalam Sistem Pendukung Keputusan Penerimaan Karyawan Pada Dewata Store Fakfak by Nelson Rumui, Nur Sakinah, Cahya Nur Rolan Niah, Fathurrahman Rumalutur

“…The aim of this research is to produce a decision support system in the process of accepting new employees at Dewata Store Fakfak. …”
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Image Based Detection of Coating Wear on Cutting Tools with Machine Learning by Jan Wolf, Nithin Kumar Bandaru, Martin Dienwiebel, Hans-Christian Möhring

“…For the classification task four machine learning Algorithms consisting of Random Forests, Decision Trees, Support Vector Machines and a Feed Forward Neural Network were implemented. …”
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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…A 2D raster data representing building volumes of each grids are derived from 3D vector-format urban data for use in machine learning applications. …”
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